Hi! I am facing the same error when creating a dataloader. Have you been able to solve this error?
Blockquote
File “C:\Users\Morpheus\AppData\Local\Programs\Python\Python38\lib\multiprocessing\spawn.py”, line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File “C:\Users\Morpheus\AppData\Local\Programs\Python\Python38\lib\multiprocessing\spawn.py”, line 125, in _main
prepare(preparation_data)
File “C:\Users\Morpheus\AppData\Local\Programs\Python\Python38\lib\multiprocessing\spawn.py”, line 236, in prepare
_fixup_main_from_path(data[‘init_main_from_path’])
File “C:\Users\Morpheus\AppData\Local\Programs\Python\Python38\lib\multiprocessing\spawn.py”, line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File “C:\Users\Morpheus\AppData\Local\Programs\Python\Python38\lib\runpy.py”, line 265, in run_path
return _run_module_code(code, init_globals, run_name,
File “C:\Users\Morpheus\AppData\Local\Programs\Python\Python38\lib\runpy.py”, line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File “C:\Users\Morpheus\AppData\Local\Programs\Python\Python38\lib\runpy.py”, line 87, in _run_code
exec(code, run_globals)
File “C:\Users\Morpheus\Documents\Cyber-Dive-App\backend\mia\alerts\alerts_fastaiv2_hf.py”, line 420, in
alertsfinal = alerts_roberta(alerts_df)
File “C:\Users\Morpheus\Documents\Cyber-Dive-App\backend\mia\alerts\alerts_fastaiv2_hf.py”, line 324, in alerts_roberta
dsets = Datasets(df, splits=splits, tfms=[
File “C:\Users\Morpheus\AppData\Local\Programs\Python\Python38\lib\site-packages\fastai2\data\core.py”, line 289, in init
self.tls = L(tls if tls else [TfmdLists(items, t, **kwargs) for t in L(ifnone(tfms,[None]))])
File “C:\Users\Morpheus\AppData\Local\Programs\Python\Python38\lib\site-packages\fastai2\data\core.py”, line 289, in
self.tls = L(tls if tls else [TfmdLists(items, t, **kwargs) for t in L(ifnone(tfms,[None]))])
File “C:\Users\Morpheus\AppData\Local\Programs\Python\Python38\lib\site-packages\fastcore\foundation.py”, line 47, in call
res = super().call(*((x,) + args), **kwargs)
File “C:\Users\Morpheus\AppData\Local\Programs\Python\Python38\lib\site-packages\fastai2\data\core.py”, line 226, in init
self.setup(train_setup=train_setup)
File “C:\Users\Morpheus\AppData\Local\Programs\Python\Python38\lib\site-packages\fastai2\data\core.py”, line 242, in setup
self.tfms.setup(self, train_setup)
File “C:\Users\Morpheus\AppData\Local\Programs\Python\Python38\lib\site-packages\fastcore\transform.py”, line 197, in setup
for t in tfms: self.add(t,items, train_setup)
File “C:\Users\Morpheus\AppData\Local\Programs\Python\Python38\lib\site-packages\fastcore\transform.py”, line 200, in add
t.setup(items, train_setup)
File “C:\Users\Morpheus\AppData\Local\Programs\Python\Python38\lib\site-packages\fastcore\transform.py”, line 78, in setup
return self.setups(getattr(items, ‘train’, items) if train_setup else items)
File “C:\Users\Morpheus\AppData\Local\Programs\Python\Python38\lib\site-packages\fastcore\dispatch.py”, line 99, in call
return f(args, **kwargs)
File “C:\Users\Morpheus\AppData\Local\Programs\Python\Python38\lib\site-packages\fastai2\text\core.py”, line 285, in setups
dsets.items,count = tokenize_df(dsets.items, self.text_cols, rules=self.rules, **self.kwargs)
File “C:\Users\Morpheus\AppData\Local\Programs\Python\Python38\lib\site-packages\fastai2\text\core.py”, line 219, in tokenize_df
outputs = L(parallel_tokenize(texts, tok, rules, n_workers=n_workers)
File “C:\Users\Morpheus\AppData\Local\Programs\Python\Python38\lib\site-packages\fastcore\foundation.py”, line 47, in call
res = super().call(((x,) + args), **kwargs)
File “C:\Users\Morpheus\AppData\Local\Programs\Python\Python38\lib\site-packages\fastcore\foundation.py”, line 324, in init
items = list(items) if use_list else _listify(items)
File “C:\Users\Morpheus\AppData\Local\Programs\Python\Python38\lib\site-packages\fastcore\foundation.py”, line 260, in _listify
if is_iter(o): return list(o)
File “C:\Users\Morpheus\AppData\Local\Programs\Python\Python38\lib\site-packages\fastcore\utils.py”, line 760, in parallel_gen
yield from run_procs(f, done, L(batches,idx).zip())
File “C:\Users\Morpheus\AppData\Local\Programs\Python\Python38\lib\site-packages\fastcore\utils.py”, line 738, in run_procs
for o in processes: o.start()
File “C:\Users\Morpheus\AppData\Local\Programs\Python\Python38\lib\multiprocessing\process.py”, line 121, in start
self._popen = self._Popen(self)
File “C:\Users\Morpheus\AppData\Local\Programs\Python\Python38\lib\multiprocessing\context.py”, line 224, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File “C:\Users\Morpheus\AppData\Local\Programs\Python\Python38\lib\multiprocessing\context.py”, line 327, in _Popen
return Popen(process_obj)
File “C:\Users\Morpheus\AppData\Local\Programs\Python\Python38\lib\multiprocessing\popen_spawn_win32.py”, line 45, in init
prep_data = spawn.get_preparation_data(process_obj._name)
File “C:\Users\Morpheus\AppData\Local\Programs\Python\Python38\lib\multiprocessing\spawn.py”, line 154, in get_preparation_data
_check_not_importing_main()
File “C:\Users\Morpheus\AppData\Local\Programs\Python\Python38\lib\multiprocessing\spawn.py”, line 134, in _check_not_importing_main
raise RuntimeError(‘’’
RuntimeError:
An attempt has been made to start a new process before the
current process has finished its bootstrapping phase.
This probably means that you are not using fork to start your
child processes and you have forgotten to use the proper idiom
in the main module:
if __name__ == '__main__':
freeze_support()
...
The "freeze_support()" line can be omitted if the program
is not going to be frozen to produce an executable.